MacBook Pro (16-inch, 2023)
Geekbench AI Score
4092
Single Precision Score
6858
Half Precision Score
5529
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11973
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26623
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
20755
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
2740
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
2026
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6098
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11778
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8128
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25614
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40587
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32067
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6528
241.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4551
168.1 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7130
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7862
135.9 IPS |
